RF-DETR is an open source object detection model based on the Transformer architecture developed by Roboflow's team. Its core features include:
- Real-time efficiency: First real-time detection performance of 60+ APs on Microsoft COCO dataset, excellent performance in RF100-VL benchmarks
- Lightweight design: Two parameter sizes are available (RF-DETR-base: 29 million parameters / RF-DETR-large: 128 million parameters), suitable for edge device deployment
- Wide range of adaptations: Able to handle a wide range of real-world application scenarios, including automated driving, industrial quality control, etc.
- open source licenseApache 2.0 license, code and pre-trained weights completely free and open
The model is particularly suitable for application scenarios that require real-time object detection, and its lightweight nature allows it to run efficiently on resource-limited hardware.
This answer comes from the articleRF-DETR: An Open Source Model for Real-Time Visual Object DetectionThe
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